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COSYS: a computational infrastructure for systems biology

  • Fabio Cumbo
  • , Marco S. Nobile
  • , Chiara Damiani
  • , Riccardo Colombo
  • , Giancarlo Mauri
  • , Paolo Cazzaniga

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Computational models are essential in order to integrate and extract knowledge from the large amount of -omics data that are increasingly being collected thanks to high-throughput technologies. Unfortunately, the definition of an appropriate mathematical model is typically inaccessible to scientists with a poor computational background, whereas expert users often lack the proficiency required for biologically grounded models. Although many efforts have been put in software packages intended to bridge the gap between the two communities, once a model is defined, the problem of simulating and analyzing it within a reasonable time still persists. We here present COSYS, a web-based infrastructure for Systems Biology that guides the user through the definition, simulation and analysis of reaction-based models, including the deterministic and stochastic description of the temporal dynamics, and the Flux Balance Analysis. In the case of computationally demanding analyses, COSYS can exploit GPU-accelerated algorithms to speed up the computation, thereby making critical tasks, as for instance an exhaustive scan of parameter values, attainable to a large audience.

Originele taal-2Engels
TitelComputational Intelligence Methods for Bioinformatics and Biostatistics - 13th International Meeting, CIBB 2016, Revised Selected Papers
RedacteurenGiulio Caravagna, Roberto Tagliaferri, David Gilbert, Andrea Bracciali
Plaats van productieCham
UitgeverijSpringer
Pagina's82-92
Aantal pagina's11
ISBN van elektronische versie978-3-319-67834-4
ISBN van geprinte versie978-3-319-67833-7
DOI's
StatusGepubliceerd - 1 jan. 2017
Evenement13th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2016 - Stirling, Verenigd Koninkrijk
Duur: 1 sep. 20163 sep. 2016

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10477 LNBI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres13th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2016
Land/RegioVerenigd Koninkrijk
StadStirling
Periode1/09/163/09/16

Financiering

Acknowledgments. This work has been supported by SYSBIO Centre of Systems Biology, through the MIUR grant SysBioNet—Italian Roadmap for ESFRI Research Infrastructures.

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